Neural State
Neural State - Related Videos
10:32
Enumeration of Neural Stem Cells Using Clonal Assays
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Cited by 5 •
2016
Neural stem cells (NSCs) refer to cells which can self-renew and differentiate into the three neural lineages. Here, we describe a protocol to determine NSC frequency in a given cell population using neurosphere formation and differentiation under clonal conditions.
09:48
Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array
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Cited by 2 •
2015
We have developed an in vitro unfolded hippocampus which preserves CA1-CA3 array of neurons. Combined with the penetrating micro-electrode array, neural activity can be monitored in both the longitudinal and transverse orientations. This method provides advantages over hippocampal slice preparations as the propagation in the entire hippocampus can be recorded simultaneously.
12:48
Isolation and Culture of Neural Crest Cells from Embryonic Murine Neural Tube
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Cited by 26 •
2012
Isolation of embryonic neural crest from the neural tube facilitates the use of in vitro methods for studying migration, self-renewal, and multipotency of neural crest.
06:31
Neural-Colony Forming Cell Assay: An Assay To Discriminate Bona Fide Neural Stem Cells from Neural Progenitor Cells
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Cited by 36 •
2011
This video protocol demonstrates how to discriminate and enumerate bona fide neural stem cells in a mixed population of neural precursor cells using the neural colony-forming cell assay.
06:24
Differentiating Human Neural Stem Cells into Neural and Astrocyte Progenitors
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2025
This video demonstrates the method to differentiate human neural stem cells from neurospheres into neural and astrocyte progenitors using enzymatic treatment and culturing in a growth factor-rich medium, which eventually leads to maturation into specialized progenitor cells.
FAQs
Neural states change when electrical and chemical signals alter activity across connected circuits. Sensory input, internal physiology, attention, arousal, and neuromodulators can each modify how those circuits respond and process information. These influences help explain transitions between coordinated modes of brain activity and allow researchers to relate momentary changes in function to perception, behavior, learning, or sleep.
Connectivity determines how activity spreads and becomes coordinated across neural circuits, while neuromodulators influence the responsiveness of those circuits. Together, they affect how the nervous system processes incoming information and shifts between functional modes. Examining both factors helps neuroscience researchers distinguish changes in circuit organization from changes in the signals that regulate circuit activity.
Responsiveness indicates how neural circuits react to sensory input or other influences at a particular moment. A change in activity therefore may reflect not only incoming signals but also altered attention, arousal, internal physiology, or neuromodulation. Considering responsiveness prevents researchers from treating isolated activity patterns as complete explanations of perception, behavior, learning, or sleep.
Researchers can characterize changes with electrophysiology, neuroimaging, and computational modeling. Electrophysiology examines neural electrical activity, neuroimaging provides measurements of brain activity, and computational modeling helps represent or analyze patterns across circuits. Using these approaches to identify state-dependent changes can reveal when the brain enters different coordinated modes and how those modes relate to function.
A study can begin by recording brain activity with electrophysiology or neuroimaging, then examining patterns that vary with sensory input, attention, arousal, sleep, behavior, or learning. Computational modeling may help analyze those patterns and identify transitions between coordinated modes. Researchers can then relate the observed changes to functional outcomes or to altered states associated with disease.
Neural state analysis can connect patterns of brain activity and connectivity with perception, behavior, learning, and sleep. It can also show how neural processing changes across coordinated modes rather than remaining fixed. In disease research, identifying altered states may help investigators examine how abnormal brain dynamics contribute to neurological or psychiatric disorders.